AIMC Topic: Neural Networks, Computer

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Energy optimization from a binary mixture of non-edible oilseeds pyrolysis: Kinetic triplets analysis using Thermogravimetric Analyser and prediction modeling by Artificial Neural Network.

Journal of environmental management Jul 17, 2021
Pyrolysis kinetics and thermodynamic parameters of two non-edible seeds, Pongamia pinnata (PP) and Sapindus emarginatus (SE), and their blend in the ratio of 1:1 (PS) were studied using the thermogravimetric analyzer. Kinetic triplets were determined...
Thermogravimetry Neural Networks, Computer Biomass Kinetics Pyrolysis
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Multitask machine learning models for predicting lipophilicity (logP) in the SAMPL7 challenge.

Journal of computer-aided molecular design Jul 17, 2021
Accurate prediction of lipophilicity-logP-based on molecular structures is a well-established field. Predictions of logP are often used to drive forward drug discovery projects. Driven by the SAMPL7 challenge, in this manuscript we describe the steps...
Solubility Solvents Thermodynamics Models, Statistical Models, Chemical Quantum Theory Machine Learning Drug Discovery Neural Networks, Computer
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Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks.

BMC bioinformatics Jul 17, 2021
BACKGROUND: Plant pathogens cause billions of dollars of crop loss every year and are a major threat to global food security. Effector proteins are the tools such pathogens use to infect the cell, predicting effectors de novo from sequence is difficu...
Neural Networks, Computer Software Plant Proteins
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Skin Cancer Detection Using Kernel Fuzzy C-Means and Improved Neural Network Optimization Algorithm.

Computational intelligence and neuroscience Jul 17, 2021
Early diagnosis of malignant skin cancer from images is a significant part of the cancer treatment process. One of the principal purposes of this research is to propose a pipeline methodology for an optimum computer-aided diagnosis of skin cancers. T...
Support Vector Machine Algorithms Humans Skin Neoplasms Neural Networks, Computer Diagnosis, Computer-Assisted
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MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks.

NeuroImage Jul 16, 2021
Magnetoencephalography (MEG) is a functional neuroimaging tool that records the magnetic fields induced by neuronal activity; however, signal from non-neuronal sources can corrupt the data. Eye-blinks, saccades, and cardiac activity are three of the ...
Brain Female Aged Child Young Adult Middle Aged Blinking Humans Signal Processing, Computer-Assisted Adult Adolescent Magnetoencephalography Artifacts Neural Networks, Computer Male
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Identifying mislabelled samples: Machine learning models exceed human performance.

Annals of clinical biochemistry Jul 16, 2021
BACKGROUND: It is difficult for clinical laboratories to identify samples that are labelled with the details of an incorrect patient. Many laboratories screen for these errors with delta checks, with final decision-making based on manual review of re...
Computer Simulation Logistic Models Support Vector Machine Machine Learning Algorithms Laboratories, Clinical Humans Neural Networks, Computer
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Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction.

NeuroImage Jul 16, 2021
Quantitative susceptibility mapping (QSM) and R2* mapping are MRI post-processing methods that quantify tissue magnetic susceptibility and transverse relaxation rate distributions. However, QSM and R2* acquisitions are relatively slow, even with para...
Neural Networks, Computer Brain Deep Learning Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Brain Mapping
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Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis.

International journal of neural systems Jul 16, 2021
Epilepsy diagnosis based on Interictal Epileptiform Discharges (IEDs) in scalp electroencephalograms (EEGs) is laborious and often subjective. Therefore, it is necessary to build an effective IED detector and an automatic method to classify IED-free ...
Scalp Electroencephalography Epilepsy Humans Neural Networks, Computer Deep Learning
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Identification of kinase inhibitors that rule out the CYP27B1-mediated activation of vitamin D: an integrated machine learning and structure-based drug designing approach.

Molecular diversity Jul 16, 2021
CYP27B1, a cytochrome P450-containing hydroxylase enzyme, converts vitamin D precursor calcidiol (25-hydroxycholecalciferol) to its active form calcitriol (1α,25(OH)D). Tyrosine kinase inhibitor such as imatinib is reported to interfere with the acti...
Reproducibility of Results Animals Molecular Docking Simulation Machine Learning Algorithms Vitamin D 25-Hydroxyvitamin D3 1-alpha-Hydroxylase Structure-Activity Relationship Drug Design Protein Binding Support Vector Machine Binding Sites Humans Small Molecule Libraries Neural Networks, Computer Databases, Pharmaceutical Phosphotransferases Metabolic Networks and Pathways Molecular Dynamics Simulation Models, Molecular Amino Acid Sequence Enzyme Inhibitors
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Outcome-Oriented Deep Temporal Phenotyping of Disease Progression.

IEEE transactions on bio-medical engineering Jul 16, 2021
Chronic diseases evolve slowly throughout a patient's lifetime creating heterogeneous progression patterns that make clinical outcomes remarkably varied across individual patients. A tool capable of identifying temporal phenotypes based on the patien...
Forecasting Phenotype Disease Progression Humans Neural Networks, Computer
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